Bioinformatics Projects And Applications

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    Bioinformatics Projects And Applications - Presentation Transcript

    1. Bioinformatics Projects and Applications Paulsharma Chakravarthy [email_address]
    2. Approaches
      • Design and implementation of new algorithms and statistics which assess relationship among members of large data sets.
      • Analysis and interpretation of various data types, which includes nucleotide and amino acid sequences and structure of protein.
      • To develop computational tools and databases that enables efficient analysis, access and management of biologically significant information.
    3. Bioinformatics Tools
      • Sequence Analysis
      • Structure Visualization
      • Structural Analysis
      • Molecular Simulation and Dynamics
      • Molecular Docking
      • Cheminformatics Tools
      • Data Mining Tools
    4. Various Specialized Application
      • Gene Prediction
      • Genome Annotation
      • Structure Prediction
      • Expression Analysis
      • Drug Discovery
      • Compound Screening
    5. Research Projects
      • Analyzing raw experiment data
      • Gene Prediction and Genome Annotation
      • Sequence Analysis of unique genes
      • Codon Usage Analysis
      • Analyzing Microarray expression data
      • Phylogenetics
      • Protein Folding and Structural Analysis
      • Structure prediction and Molecular Modeling
      • Molecular Docking
      • Development of Secondary structure Algorithm
      • Drug discovery
      • Identification of Drug Targets
      • Designing a Bioinformatics Software
      • Designing a Bioinformatics database
      • Comparative Genomics
      • Cancer Genomics
      • Metabolic pathway analysis
      • Metabolic pathway mapping
      • Cheminformatics
      • Molecule screening for drug discovery
      • In silico Drug Likeness
      • In silico ADMET
      • Molecular simulation
      • Web based Applications / web datasets
    6. Project Steps
      • Identify a relevant problem
      • Define the problem
      • Literature Review
      • Objective to find solution for the chosen problem
      • Methods
      • Results expected
      • Analysis
      • Interpretation
      • Documentation

    + Paulsharma ChakravarthyPaulsharma Chakravarthy, 2 years ago

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    Introduction to bioinformatics and applications

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